• DocumentCode
    263018
  • Title

    Measures of non-Gaussianity in unscented Kaiman filter framework

  • Author

    Straka, O. ; Dunik, J. ; Simandl, Miroslav

  • Author_Institution
    Dept. of Cybern., Univ. of West Bohemia, Pilsen, Czech Republic
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The paper deals with state estimation of nonlinear stochastic dynamic systems. In particular, the stress is laid on the recursive computation of the higher order moments of the state estimate in a local filter. The higher order moments are then used as a cornerstone of non-Gaussianity measures having the ability to indicate a possible decrease of the estimate quality. A technique is proposed for a general algorithm of the local filters, detailed for the unscented Kalman filter, and illustrated in numerical examples.
  • Keywords
    Kalman filters; higher order statistics; nonlinear filters; stochastic processes; higher order moments; local filter; nonGaussianity measure; nonlinear stochastic dynamic systems; recursive computation; state estimation; unscented Kaiman filter framework; Approximation methods; Covariance matrices; Kalman filters; Noise; State estimation; Time measurement; Vectors; Kalman filtering; non-Gaussianity measures; nonlinear filters; nonlinearity measures; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916118